🧠
Audio2phoneme Ma French V2 model by Ekinox Io
⭐ 41.5
🧠
Model

Audio2phoneme Ma French V2

by Ekinox Io ekinox-io/audio2phoneme-ma-french-v2
Free2AITools Nexus Index
41.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 17
R: Recency 76
Q: Quality 65
Tech Context
0.09B Params
4.096K Ctx
Vital Performance
349 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 41.5 FNI Score
Tiny 0.09B Params
4k Context
349 Downloads
8G GPU ~2GB Est. VRAM
Dense WAV2VEC2FORCTC Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID ekinox-io/audio2phoneme-ma-french-v2
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ekinox_io_audio2phoneme_ma_french_v2,
  author = {Ekinox Io},
  title = {Audio2phoneme Ma French V2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ekinox-io/Audio2Phoneme-MA-french-V2}},
  note = {Accessed via Free2AITools.}
}
APA Style
Ekinox Io. (2026). Audio2phoneme Ma French V2 [Model]. Free2AITools. https://huggingface.co/ekinox-io/Audio2Phoneme-MA-french-V2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run audio2phoneme-ma-french-v2
πŸ€— HF Download
huggingface-cli download ekinox-io/audio2phoneme-ma-french-v2
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 17
Recency (R) 76
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Audio2phoneme Ma French V2: Authority (A:0), Popularity (P:17), Recency (R:76), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.

Social Proof

HuggingFace Hub
349Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--ekinox-io--audio2phoneme-ma-french-v2
slug
ekinox-io--audio2phoneme-ma-french-v2
source
huggingface
author
Ekinox Io
license
MIT
tags
transformers, safetensors, wav2vec2, automatic-speech-recognition, generated_from_trainer, base_model:cnam-lmssc/wav2vec2-french-phonemizer, license:mit, endpoints_compatible, region:us, onnx

βš™οΈ Technical Specs

architecture
Wav2Vec2ForCTC
params billions
0.09
context length
4,096
pipeline tag
automatic-speech-recognition
vram gb
1.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
349
stars
0
forks
0

Data indexed from public sources. Updated daily.